Lionel Tarassenko

Lionel Tarassenko

University of Oxford

H-index: 89

Europe-United Kingdom

About Lionel Tarassenko

Lionel Tarassenko, With an exceptional h-index of 89 and a recent h-index of 56 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Signal processing, machine learning, biomedical engineering, patient monitoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers

Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts

Supporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a …

supporting people with type 2 diabetes diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a …

Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera

Wearables for continuous patient monitoring on COVID-19 isolation wards

Tracking Atrial Fibrillation aFter Intensive Care: The TrAFFIC Study

Identification of motor progression in Parkinson’s disease using wearable sensors and machine learning

Lionel Tarassenko Information

University

Position

Professor of Electrical Engineering

Citations(all)

28513

Citations(since 2020)

12874

Cited By

22215

hIndex(all)

89

hIndex(since 2020)

56

i10Index(all)

291

i10Index(since 2020)

200

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Lionel Tarassenko Skills & Research Interests

Signal processing

machine learning

biomedical engineering

patient monitoring

Top articles of Lionel Tarassenko

Title

Journal

Author(s)

Publication Date

SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers

arXiv preprint arXiv:2404.03831

Jonathan F Carter

João Jorge

Oliver Gibson

Lionel Tarassenko

2024/4/4

Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts

BMJ open

Marco AF Pimentel

Alistair Johnson

Julie Lorraine Darbyshire

Lionel Tarassenko

David A Clifton

...

2024/4/1

Supporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a …

Pilot and Feasibility Studies

SuMMiT-D Collaborative Group

Andrew J Farmer

Julie Allen

Y Kiera Bartlett

Peter Bower

...

2024/1/25

supporting people with type 2 diabetes diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D pilot): results of a …

Pilot and Feasibility Studies

A Farmer

J Allen

K Bartlett

Y Chi

L Jones

...

2024

Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera

Jonathan Carter

João Jorge

Bindia Venugopal

Oliver Gibson

Lionel Tarassenko

2023

Wearables for continuous patient monitoring on COVID-19 isolation wards

Cristian Roman

Sarah Vollam

Peter Watkinson

Lionel Tarassenko

2023/10/15

Tracking Atrial Fibrillation aFter Intensive Care: The TrAFFIC Study

Critical Care Canada Forum 2022

Jonathan Bedford

Tessa Garside

Shaun Davidson

Cristian Roman

Louise Young

...

2023

Identification of motor progression in Parkinson’s disease using wearable sensors and machine learning

npj Parkinson's Disease

Charalampos Sotirakis

Zi Su

Maksymilian A Brzezicki

Niall Conway

Lionel Tarassenko

...

2023/10/7

Diagnosing hypertension in primary care: a retrospective cohort study to investigate the importance of night-time blood pressure assessment

British Journal of General Practice

Laura C Armitage

Shaun Davidson

Adam Mahdi

Mirae Harford

Richard McManus

...

2023/1/1

Machine Learning Classification of Sleep State

2023/8/24

Features from the photoplethysmogram and the electrocardiogram for estimating changes in blood pressure

Scientific Reports

Eoin Finnegan

Shaun Davidson

Mirae Harford

Peter Watkinson

Lionel Tarassenko

...

2023/1/18

Using a novel ambulatory monitoring system to support patient safety on an acute infectious disease ward during an unfolding pandemic

Journal of Advanced Nursing

Annika Buss

Carlos Areia

Christopher Biggs

Holly Edmundson

Louise Young

...

2023

Sleep Staging Using Wearables and Deep Neural Networks

Shaun Davidson

Cristian Roman

Jonathan Carter

Mirae Harford

Lionel Tarassenko

2023/10/15

Correction to: Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data

Critical Care

Shaun Davidson

Mauricio Villarroel

Mirae Harford

Eoin Finnegan

Joao Jorge

...

2022

Chest patch for continuous vital-sign monitoring: A clinical validation study during movement and controlled hypoxia

Physiotherapy

C Areia

M Santos

S Vollam

M Pimentel

L Young

...

2022/2/1

Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses

Journal of advanced nursing

Carlos Areia

Elizabeth King

Jody Ede

Louise Young

Lionel Tarassenko

...

2022/3

Predicting Isolated Nocturnal Hypertension Using Dawn and Dusk Home Blood Pressure Monitoring

Shaun Davidson

Cristian Roman

Lionel Tarassenko

2022/7/11

Machine learning for determining lateral flow device results for testing of SARS-CoV-2 infection in asymptomatic populations

Cell Reports Medicine

Andrew D Beggs

Camila CS Caiado

Mark Branigan

Paul Lewis-Borman

Nishali Patel

...

2022/10/18

Non-contact physiological monitoring of post-operative patients in the intensive care unit

NPJ digital medicine

João Jorge

Mauricio Villarroel

Hamish Tomlinson

Oliver Gibson

Julie L Darbyshire

...

2022/1/13

Supporting people with type 2 diabetes in the effective use of their medicine through mobile health technology integrated with clinical care to reduce cardiovascular risk …

JMIR research protocols

Andrew Farmer

Louise Jones

Nikki Newhouse

Cassandra Kenning

Nicola Williams

...

2022/2/21

See List of Professors in Lionel Tarassenko University(University of Oxford)